Publications by authors named "Yutong Zhong"

Introduction: Corticotomy-assisted tooth movement is commonly performed in clinics, however, its time-limited efficacy and the fear of surgery among patients significantly limit its clinical application. Hence, researchers have investigated non-invasive methods to accelerate tooth movement. However, the molecular mechanisms underlying corticotomy-assisted tooth movement are not fully understood.

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Article Synopsis
  • Euphorbia L. is a traditional herb that contains compounds like Euphorbia factor L2 (EFL2), which has shown potential in reducing inflammation in conditions such as acute lung injury and arthritis.
  • This study investigated the therapeutic effects of EFL2 on gouty arthritis by examining its impact on the NLRP3 inflammasome, using both in vitro and in vivo models.
  • Results indicated that EFL2 inhibited the expression of NLRP3 and reduced inflammatory responses by binding to glucocorticoid receptors, suggesting its potential in developing new anti-inflammatory treatments.
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Objective: Pigmented villonodular synovitis (PVNS) is a rare benign proliferative disease affecting the soft-tissue lining the synovial joints and tendons. Its etiology is poorly understood, largely limiting the availability of current therapeutic options. Here, we mapped the synovial gene and protein profiles of patients with PVNS, revealed a link between synovial inflammation and invasion, and elucidated the potential molecular mechanism involved.

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Lung adenocarcinoma (LUAD) is a serious threat to public health and is accompanied by increased morbidity and mortality worldwide. Neuronal PAS domain protein2 (NPAS2) has been confirmed as an oncogene in LUAD; however, little is known about its molecular mechanism. Here, the expression level of NPAS2 was detected in LUAD cell lines and 16HBE cells.

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  • Deep learning is increasingly being used in medical computer-aided diagnosis, specifically for tasks like lesion segmentation and predicting benign states in breast cancer screening.
  • A multi-task fusion model was developed to improve diagnosis by combining multiple tasks, allowing for a more comprehensive analysis of mammograms.
  • This model showed superior performance in breast cancer screening compared to existing models, with high accuracy scores, and provides valuable radiological insights and risk assessments for radiologists.
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Rheumatoid arthritis (RA) is an autoimmune disease characterized by enigmatic pathogenesis. Polyunsaturated fatty acids (PUFAs) are implicated in RA's development and progression, yet their exact mechanisms of influence are not fully understood. Soluble epoxide hydrolase (sEH) is an enzyme that metabolizes anti-inflammatory epoxy fatty acids (EpFAs), derivatives of PUFAs.

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Objective: Cepharanthine (CEP) is a drug candidate for tumor, viral infection, and some inflammatory diseases, but its effect on rheumatoid arthritis (RA) and the underlying mechanism are incompletely understood.

Methods: CEP was administered intraperitoneally to a collagen-induced arthritis (CIA) model. Joints went radiological and histological examination and serum cytokines were examined with cytometry-based analysis.

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Breast density is an important indicator of breast cancer risk. However, existing methods for breast density classification do not fully utilise the multi-view information produced by mammography and thus have limited classification accuracy.In this paper, we propose a multi-view fusion network, denoted local-global dynamic pyramidal-convolution transformer network (LG-DPTNet), for breast density classification in mammography.

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Post-operative organ/space infection (OSI) is associated with prolonged hospital stay or re-admission. Here, we explore the predictors for OSI in pediatric patients after appendectomy. Among post-appendectomy pateints, the OSI was reviewed.

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Breast cancer is the most common malignant tumor in females, and the majority of patients succumb to metastasis. The present study aimed to investigate the association between tumor necrosis factor alpha-induced protein 3 (A20), NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) and tumor-associated macrophage polarization, and their effects on the proliferation and metastasis of breast cancer cells. The expression of A20 in breast cancer cells was analyzed by reverse transcription-quantitative PCR (RT-qPCR) and western blotting.

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Depression is common in patients with rheumatoid arthritis (RA); however, the precise mechanisms underlying a link between depression and RA remain unclear. Accumulating evidence suggests the role of gut-microbiota-brain axis in depression. In this study, we investigated whether collagen-induced arthritis (CIA) mice produce depression-like behaviors and abnormal composition of gut microbiota.

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Objectives: This study aims to explore the effect of inward rectifier potassium (Kir) 2.1 channel on the osteogenic differentiation of human dental follicle cells (hDFCs) and its mechanism.

Methods: hDFCs were isolated and cultured, and their source was verified by flow cytometry.

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Toll like receptor (TLR)s have a central role in regulating innate immunity and their activation have been highlighted in the pathogenesis of rheumatoid arthritis (RA). EFL2, one of diterpenoids derived from seeds, is nearly unknown expect for its improving effect on acute lung injury. Our present study aimed to investigate EFL2's pharmacokinetic features, its therapeutic effect on rheumatoid arthritis, and explored the potential anti-arthritic mechanisms.

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Inflammatory bowel disease is an immune-mediated chronic inflammatory disease of the gastrointestinal tract for which curative drugs are currently not available. This study was performed to assess the therapeutic effects of cinacalcet on dextran sulfate sodium (DSS)-induced colitis. Primary macrophages obtained from bone marrow and the macrophage cell line RAW264.

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Breast cancer is one of the most common types of cancer in women, and histopathological imaging is considered the gold standard for its diagnosis. However, the great complexity of histopathological images and the considerable workload make this work extremely time-consuming, and the results may be affected by the subjectivity of the pathologist. Therefore, the development of an accurate, automated method for analysis of histopathological images is critical to this field.

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Purpose: In this paper, we utilized deep learning methods to screen the positive COVID-19 cases in chest CT. Our primary goal is to supply rapid and precise assistance for disease surveillance on the medical imaging aspect.

Materials And Methods: Basing on deep learning, we combined semantic segmentation and object detection methods to study the lesion performance of COVID-19.

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A novel lysosome-targetable phthalimide fluorescent probe was designed for detecting palladium based on ESIPT for signal transduction. The fluorescent probe conjugating with allylcarbamate displayed weak fluorescent due to the ESIPT process hinder by allylcarbamate. But with the addition of palladium, the ESIPT emission was recovery though the palladium-catalyzed deallylation reaction and the fluorescence intensity exhibited 40-fold enhancement at 511 nm.

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